Accurate 3D Locating and Tracking of Basketball Players from Multiple Videos | |
Weiliang Meng; Shibiao Xu; Er Li; Xiangyong Zeng; Xiaopeng Zhang | |
2018-12 | |
会议日期 | 2018.12.3-2018.12.7 |
会议地点 | Tokyo, Japan |
英文摘要 | With the development of pedestrian detection technologies, existing methods cannot simultaneously satisfy high-quality detection and fast calculation for practical applications, especially for accurate 3D locating and tracking of basketball players. We propose an algorithm which can robustly and automatically locate and track basketball players from multiple videos. After extracting the foregrounds, the voxels in the basketball court space are projected back to the foreground images. Occupied voxels are accumulated and smoothed based on integral space for acceleration. Two Gaussian Mixture Models including Grouping Gaussian Mixture Model(GGMM) and Locating Gaussian Mixture Model(LGMM) are designed for continuous locating and grouping players, and a simple blob detector is employed to handle out-of-bound players. Our algorithm is insensitive to occlusions, shadows, lights and computation errors. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/47432] |
专题 | 模式识别国家重点实验室_三维可视计算 |
通讯作者 | Xiaopeng Zhang |
作者单位 | 1.Institute of Computing Technology, Chinese Academy of Sciences 2.NLPR, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Weiliang Meng,Shibiao Xu,Er Li,et al. Accurate 3D Locating and Tracking of Basketball Players from Multiple Videos[C]. 见:. Tokyo, Japan. 2018.12.3-2018.12.7. |
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